Files in this item
Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country
Item metadata
dc.contributor.author | Chadwick, Fergus J. | |
dc.contributor.author | Clark, Jessica | |
dc.contributor.author | Chowdhury, Shayan | |
dc.contributor.author | Chowdhury, Tasnuva | |
dc.contributor.author | Pascall, David J. | |
dc.contributor.author | Haddou, Yacob | |
dc.contributor.author | Andrecka, Joanna | |
dc.contributor.author | Kundegorski, Mikolaj | |
dc.contributor.author | Wilkie, Craig | |
dc.contributor.author | Brum, Eric | |
dc.contributor.author | Shirin, Tahmina | |
dc.contributor.author | Alamgir, A. S. M. | |
dc.contributor.author | Rahman, Mahbubur | |
dc.contributor.author | Alam, Ahmed Nawsher | |
dc.contributor.author | Khan, Farzana | |
dc.contributor.author | Swallow, Ben | |
dc.contributor.author | Mair, Frances S. | |
dc.contributor.author | Illian, Janine | |
dc.contributor.author | Trotter, Caroline L. | |
dc.contributor.author | Hill, Davina L. | |
dc.contributor.author | Husmeier, Dirk | |
dc.contributor.author | Matthiopoulos, Jason | |
dc.contributor.author | Hampson, Katie | |
dc.contributor.author | Sania, Ayesha | |
dc.date.accessioned | 2022-09-28T11:30:22Z | |
dc.date.available | 2022-09-28T11:30:22Z | |
dc.date.issued | 2022-05-26 | |
dc.identifier | 281140829 | |
dc.identifier | 5636b160-df75-4e1a-abbf-6fc3b53f15cc | |
dc.identifier | 000800650200001 | |
dc.identifier | 85130829560 | |
dc.identifier.citation | Chadwick , F J , Clark , J , Chowdhury , S , Chowdhury , T , Pascall , D J , Haddou , Y , Andrecka , J , Kundegorski , M , Wilkie , C , Brum , E , Shirin , T , Alamgir , A S M , Rahman , M , Alam , A N , Khan , F , Swallow , B , Mair , F S , Illian , J , Trotter , C L , Hill , D L , Husmeier , D , Matthiopoulos , J , Hampson , K & Sania , A 2022 , ' Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country ' , Nature Communications , vol. 13 , 2877 . https://doi.org/10.1038/s41467-022-30640-w | en |
dc.identifier.issn | 2041-1723 | |
dc.identifier.other | ORCID: /0000-0002-0227-2160/work/118411955 | |
dc.identifier.other | ORCID: /0000-0001-8650-1938/work/150660066 | |
dc.identifier.uri | https://hdl.handle.net/10023/26086 | |
dc.description | This work is supported by a grant from the Bill and Melinda Gates Foundation to FAO (INV-022851). F.J.C. is funded by EPSRC (EP/R513222/1), D.J.P. by the JUNIPER consortium (MR/V038613/1) and K.H. by Wellcome (207569/Z/17/Z). | en |
dc.description.abstract | Diagnostics for COVID-19 detection are limited in many settings. Syndromic surveillance is often the only means to identify cases but lacks specificity. Rapid antigen testing is inexpensive and easy-to-deploy but can lack sensitivity. We examine how combining these approaches can improve surveillance for guiding interventions in low-income communities in Dhaka, Bangladesh. Rapid-antigen-testing with PCR validation was performed on 1172 symptomatically-identified individuals in their homes. Statistical models were fitted to predict PCR-status using rapid-antigen-test results, syndromic data, and their combination. Under contrasting epidemiological scenarios, the models’ predictive and classification performance was evaluated. Models combining rapid-antigen-testing and syndromic data yielded equal-to-better performance to rapid-antigen-test-only models across all scenarios with their best performance in the epidemic growth scenario. These results show that drawing on complementary strengths across rapid diagnostics, improves COVID-19 detection, and reduces false-positive and -negative diagnoses to match local requirements; improvements achievable without additional expense, or changes for patients or practitioners. | |
dc.format.extent | 9 | |
dc.format.extent | 1556990 | |
dc.language.iso | eng | |
dc.relation.ispartof | Nature Communications | en |
dc.subject | RA0421 Public health. Hygiene. Preventive Medicine | en |
dc.subject | DAS | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | SDG 10 - Reduced Inequalities | en |
dc.subject.lcc | RA0421 | en |
dc.title | Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.identifier.doi | https://doi.org/10.1038/s41467-022-30640-w | |
dc.description.status | Peer reviewed | en |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.